Duhwan Mun

1.9k total citations
133 papers, 1.4k citations indexed

About

Duhwan Mun is a scholar working on Industrial and Manufacturing Engineering, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Duhwan Mun has authored 133 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Industrial and Manufacturing Engineering, 50 papers in Computational Mechanics and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Duhwan Mun's work include Manufacturing Process and Optimization (85 papers), 3D Shape Modeling and Analysis (38 papers) and Advanced Numerical Analysis Techniques (20 papers). Duhwan Mun is often cited by papers focused on Manufacturing Process and Optimization (85 papers), 3D Shape Modeling and Analysis (38 papers) and Advanced Numerical Analysis Techniques (20 papers). Duhwan Mun collaborates with scholars based in South Korea, United States and China. Duhwan Mun's co-authors include Soonhung Han, Byung Chul Kim, Hyungki Kim, Soonjo Kwon, Jinwon Lee, Jin-Sang Hwang, Junhwan Kim, Sang-Uk Cheon, Moohyun Cha and Karthik Ramani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Duhwan Mun

111 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Duhwan Mun South Korea	22	849	440	270	248	232	133	1.4k
Willem F. Bronsvoort Netherlands	20	1.0k 1.2×	591 1.3×	194 0.7×	319 1.3×	187 0.8×	87	1.4k
Benjamin Schleich Germany	23	2.3k 2.7×	337 0.8×	101 0.4×	895 3.6×	601 2.6×	176	3.0k
Johan S. Carlson Sweden	21	1.2k 1.4×	120 0.3×	237 0.9×	411 1.7×	265 1.1×	104	1.7k
Luiz S. Homem de Mello United States	11	1.7k 2.0×	101 0.2×	141 0.5×	328 1.3×	270 1.2×	14	1.8k
Guofu Ding China	22	1.1k 1.3×	315 0.7×	152 0.6×	837 3.4×	100 0.4×	98	2.3k
Joshua Siegel United States	15	89 0.1×	86 0.2×	312 1.2×	53 0.2×	206 0.9×	53	1.2k
Lianyu Zheng China	25	955 1.1×	112 0.3×	297 1.1×	654 2.6×	99 0.4×	108	1.8k
Rong Mo China	17	410 0.5×	126 0.3×	117 0.4×	384 1.5×	38 0.2×	104	960
J. Balič Slovenia	25	866 1.0×	173 0.4×	86 0.3×	1.2k 4.7×	302 1.3×	98	2.2k
H.J.J. Kals Netherlands	24	1.3k 1.5×	247 0.6×	45 0.2×	802 3.2×	200 0.9×	103	1.9k

Countries citing papers authored by Duhwan Mun

Since Specialization

Citations

This map shows the geographic impact of Duhwan Mun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Duhwan Mun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duhwan Mun more than expected).

Fields of papers citing papers by Duhwan Mun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Duhwan Mun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Duhwan Mun. The network helps show where Duhwan Mun may publish in the future.

Co-authorship network of co-authors of Duhwan Mun

This figure shows the co-authorship network connecting the top 25 collaborators of Duhwan Mun. A scholar is included among the top collaborators of Duhwan Mun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Duhwan Mun. Duhwan Mun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mun, Duhwan, et al.. (2025). Human and Humanoid-in-the-Loop (HHitL) Ecosystem: An Industry 5.0 Perspective. Machines. 13(6). 510–510.

Mun, Duhwan, et al.. (2025). Graph neural network-based method for classifying continuous lines in piping and instrumentation diagram. Advanced Engineering Informatics. 66. 103457–103457. 1 indexed citations

Kim, Byung Chul, et al.. (2025). Rule-based design verification for mechanical parts with dynamic rule subset selection. Scientific Reports. 15(1). 17153–17153. 1 indexed citations

Kim, Sang‐Woo, et al.. (2024). CNN-based weight estimation from point clouds obtained from walking breed sows. SHILAP Revista de lepidopterología. 9. 100611–100611.

Cheon, Sang-Uk, et al.. (2024). Relational descriptors for retrieving design features in a B-rep model using the similarity-based retrieval approach. Advanced Engineering Informatics. 62. 102877–102877. 2 indexed citations

Suh, Hyo-Won, et al.. (2024). Construction of design requirements knowledgebase from unstructured design guidelines using natural language processing. Computers in Industry. 159-160. 104100–104100. 7 indexed citations

Mun, Duhwan, et al.. (2024). Retrieval of CAD part models complying with design specification using a relational design rule-embedded BOM. The International Journal of Advanced Manufacturing Technology. 133(7-8). 3283–3299.

Mun, Duhwan, et al.. (2024). Rule-based continuous line classification using shape and positional relationships between objects in piping and instrumentation diagram. Expert Systems with Applications. 248. 123366–123366. 7 indexed citations

Lim, Sung Kyu, et al.. (2024). BRepQL: Query language for searching topological elements in B-rep models. Computers in Industry. 164. 104207–104207. 1 indexed citations

10.

Cha, Moohyun, et al.. (2020). Development of a System to Retrieve Manufacturing Conditions to Support 3D Printing-Based Part Maintenance. Journal of the Korean Society for Precision Engineering. 37(8). 633–640. 1 indexed citations

11.

Kwon, Soonjo, et al.. (2020). Simplification of a Feature-based 3D CAD Assembly Model Considering the Allowable Highest and Lowest Limits of the LOD. Journal of the Korean Society of Manufacturing Process Engineers. 19(7). 22–34. 2 indexed citations

12.

Park, Chanseok, et al.. (2018). Development of a System to Translate Catalog Data of Equipment and Materials from a Neutral Model to a Plant 3D CAD System. 23(2). 144–154.

13.

Park, Chanseok, et al.. (2018). Development of a System to Convert a 3D Mesh Model in STL Format into OBJ Format. Journal of the Korean Society of Manufacturing Process Engineers. 17(3). 78–86. 1 indexed citations

14.

Kim, Byung Chul, et al.. (2013). Method of Controlling CAD Library Based on Part-shape Information Model for Bicycle Configuration Designs. Journal of the korean society of manufacturing technology engineers. 22(6). 1025–1031. 1 indexed citations

15.

Mun, Duhwan, et al.. (2013). Linking a plant item and its geometric representation using ISO 15926 templates. 639–647. 1 indexed citations

16.

Mun, Duhwan, et al.. (2010). Approach for information modeling of ship’s product structure data across its lifecycle using industrial data standards. 237–247. 3 indexed citations

17.

Mun, Duhwan & Byung Chul Kim. (2010). Construction of an International Standard-Based Plant Data Repository Utilizing Web Services Technology. IE interfaces. 23(3). 213–220. 2 indexed citations

18.

Mun, Duhwan & Soonhung Han. (2005). Identification of Topological Entities and Naming Mapping for Parametric CAD Model Exchanges. 5(1). 69–81. 24 indexed citations

19.

Mun, Duhwan, et al.. (2004). A Table Parametric Method for Automatic Generation of Parametric CAD Models in a Mold Base e-Catalog System. The e-Business Studies. 9(4). 117–136. 2 indexed citations

20.

Mun, Duhwan, et al.. (2002). Exchange of CAD Part Models Based on the Macro-Parametric Approach. 2(1). 13–21. 98 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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